Results 61 to 70 of about 1,040 (193)

Real-World Super-Resolution for μCT Rock Imaging Using Simple Real-ESRGAN-3D [PDF]

ITM Web of Conferences
Computer tomography technology is widely used in geological exploration as a non-destructive 3D imaging modality integrated with computer simulation. However, high-resolution CT scanning is constrained by economic costs and long acquisition times, and ...
Sun Yue
doaj   +1 more source

Super‐Resolution Enhanced Defect Detection Network for Photovoltaic Panel Images

IET Image Processing, Volume 20, Issue 1, January/December 2026.
A super‐resolution (SR)‐enhanced YOLO framework, PVSR‐YOLO, is proposed for detecting photovoltaic (PV) defects. By introducing an auxiliary SR branch and incorporating SR data augmentation during training, we effectively guide the YOLOv10s backbone to learn fine‐grained features of minor defects, thereby improving the accuracy and reliability of PV ...
Hao Tang, Bin Yang
wiley   +1 more source

Single Remote Sensing Image Super‐Resolution Based on Real‐World Degradation Model and Deep Generative Adversarial Network

IET Image Processing, Volume 20, Issue 1, January/December 2026.
We propose a novel method, termed SRDDSAGAN, which is based on a real‐world degradation model (RWDM) and a deep generative adversarial network (SRDSAGAN). The RWDM integrates blur kernels and imaging noise to simulate real‐world imaging conditions, thereby generating more realistic training and testing datasets. The SRDSAGAN incorporates dense sampling
Zhen Yang, Yin Zhang, Songping Wei, Jiaqi Shen, Shikai Jiang, Yun Su, Yue Yu, Junhua Yan   +7 more
wiley   +1 more source

Deep learning-based temperature detection for group-raised pigs via thermal images

Smart Agricultural Technology
Body temperature detection of pigs is vital for efficient pig breeding. In this study, a novel approach for individual pig temperature detection in a group-raised environment is proposed.
Xiaowen Liu, Xueting Zeng, Mengyuan Chu, Qian Li, Gang Liu   +4 more
doaj   +1 more source

End‐to‐End Convolutional Neural Networks Training on Stable Diffusion Deepfake Imagery for Precise Early Weed Detection

Weed Research, Volume 66, Issue 1, January/February 2026.
ABSTRACT The integration of optical sensor systems with advancements in artificial intelligence for image processing presents a promising avenue for the broader implementation of site‐specific weed management (SSWM). Convolutional neural networks (CNNs) have significantly advanced the field of weed detection.
Adrià Gómez, Hugo Moreno, Dionisio Andújar   +2 more
wiley   +1 more source

Robust Real‐Time Detection of Small Traffic Signs in Adverse Weather Conditions Using GAHP‐YOLOv8

Journal of Advanced Transportation, Volume 2026, Issue 1, 2026.
Traffic sign detection (TSD) is a fundamental component of intelligent transportation systems (ITS) and autonomous driving. Despite recent advancements in deep learning, robust TSD in real‐world scenarios remains challenging due to the prevalence of small targets, complex environmental interference (e.g., adverse weather and varying illumination), and ...
Jinke Cheng, Xue Wang, Sheng Zhang, Suhuan Feng, Jingbo Fu, Qingkun He, Guo Li, Wenbin Wang, Senhui Liu, Jinhao Liang   +9 more
wiley   +1 more source

Enhanced ESRGAN for Single-Image Super-Resolution Multi-Loss Design and Dynamic Training Strategy

IJCI International Journal of Computers and Information
Single-image super-resolution (SISR) aims to recover a high-resolution (HR) image from a single low-resolution (LR) input, a task with critical applications in medical imaging, satellite surveillance, digital archiving, and multimedia restoration.
Abanoub Shawky, Khalid Amin, mina ibrahim, Sameh Zarif   +3 more
doaj   +1 more source

From Early Models to Modern Techniques: A Deep Learning Survey on Single Image Super-Resolution [PDF]

ITM Web of Conferences
The primary goal of Single Image Super-Resolution (SISR), a fundamental yet challenging computer vision task with several practical applications in domains such as surveillance, medical imaging, and remote sensing, is to reconstruct a high-resolution (HR)
Li Haorui
doaj   +1 more source

A Distributed Vision‐Based System for Cost‐Effective Fault Diagnosis of Modular Bridge Expansion Joints

Structural Control and Health Monitoring, Volume 2026, Issue 1, 2026.
Detecting faults in modular bridge expansion joints (MBEJs) is a critical challenge, as their complex dynamic behavior under operational loads is difficult to characterize with conventional methods. Existing monitoring approaches often face a trade‐off between high cost, intrusive installation, and an inability to capture the distributed kinematic ...
Haoxiang Huang, Dalei Wang, Yue Pan, Minglei Ma, Airong Chen, Jun Li   +5 more
wiley   +1 more source

Multi-stage generative enhancement and foundation model framework for automated dental implant identification: assessing the preprocessing paradox

Frontiers in Computer Science
Artificial intelligence-based image analysis is transforming medical diagnosis; however, its clinical usefulness is limited by inherent noise and the quality of available medical datasets. Recent advances in generative AI promise to improve image quality
Veena Benakatti, Ramesh P. Nayakar, Mallikarjun Anandhalli   +2 more
doaj   +1 more source